MacBook Pro (14-inch, 2021)
Geekbench AI Score
3739
Single Precision Score
5696
Half Precision Score
4687
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | samusko14 |
| Upload Date | March 01 2025 09:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
2053
381.7 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11120
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22610
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17002
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2343
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5201
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5969
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10410
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7391
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22235
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34862
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25760
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3996
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3220
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4796
82.9 IPS |
